yangkky

Machine-learning-for-proteins

Listing of papers about machine learning for proteins.

distributed_tutorial

gpmodel

Functions and classes for doing Gaussian process models of proteins

books

Keeping track of what I read.

presentations

Slides from my talks

yangkky.github.io

Website

attention-is-all-you-need-pytorch

resume

UniLanguage

Homology reduced UniProt, train-/valid-/testsets for language modeling

BeBi-HW

Homework for BeBi 103

bib

dockers

gptorch

mfact

Non-contiguous-recombination

Identifies elements of structure that can be shuffled between two or more proteins

prob_ssm

SCHEMA-RASPP

RASPP algorithm for structure-guided protein recombination

scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

shower

Hello World themed baby shower

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.